- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Urban Green Space and Health
- Urban Heat Island Mitigation
- Peatlands and Wetlands Ecology
- Coastal wetland ecosystem dynamics
- Remote Sensing and LiDAR Applications
- Climate Change and Health Impacts
- Ecology and Vegetation Dynamics Studies
- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Species Distribution and Climate Change
- Remote Sensing and Land Use
- Urban Transport and Accessibility
- Plant Water Relations and Carbon Dynamics
- Health disparities and outcomes
- Impact of Light on Environment and Health
- Air Quality and Health Impacts
- Remote-Sensing Image Classification
- Building Energy and Comfort Optimization
- Urban Stormwater Management Solutions
- Global Health Care Issues
- Noise Effects and Management
- Conservation, Biodiversity, and Resource Management
- Fire effects on ecosystems
University of California, Berkeley
2015-2024
University of California, Merced
2023
Berkeley College
2014-2022
Moscow State University
2020
Lomonosov Moscow State University
2020
University of Michigan
2007-2011
Climate change and urbanization are rapidly increasing human exposure to extreme ambient temperatures, yet few studies have examined temperature mortality in Latin America. We conducted a nonlinear, distributed-lag, longitudinal analysis of daily temperatures among 326 American cities between 2002 2015. observed 15,431,532 deaths ≈2.9 billion person-years risk. The excess death fraction total was 0.67% (95% confidence interval (CI) 0.58-0.74%) for heat-related 5.09% CI 4.64-5.47%)...
Abstract Remote sensing of vegetation phenology has long been used to characterize ecosystem functions and responses climate at spatial temporal scales unfeasible field surveys. However, the potential remote elucidate mechanistic drivers underlying plant community processes such remains under‐discussed. This review synthesizes possibilities advance this knowledge using multi‐temporal discusses remaining challenges progress in instruments analytical tools. Recent evidence indicates that,...
An obstacle to the modeling of strategies mitigate extreme urban temperatures is frequently lack on-site meteorological data. The current study thus reports on a method that used Weather Research and Forecasting (WRF) model generate inputs for ENVI-met produce building-scale canyon within 300 m square near downtown San Jose. A land use distribution was generated WRF by WUDAPT classification, days interest were then hottest day in California history typical summer day. source data ENVI-met,...
Exposure to particulate matter (PM2.5) is a major risk factor for morbidity and mortality. Yet few studies have examined patterns of population exposure investigated the predictors PM2.5 across rapidly growing cities in lower- middle-income countries. Characterize levels, describe exposure, investigate urban factors as levels. We used data from Salud Urbana en America Latina/Urban Health Latin (SALURBAL) study, multi-country assessment determinants health America, characterize levels 366...
Abstract Spatial data of urban green spaces (UGS) are critical for cities worldwide to evaluate their progress towards achieving the sustainable development goals on UGS. However, UGS maps at global scale with acceptable accuracies not readily available. In this study, we mapped all 1039 mid- and large-sized across globe in 2015 dense remote sensing (i.e. 51 494 Landsat images) Google Earth Engine (GEE) platform. Also, quantified spatial distribution accessibility within cities. By combining...
Inundated wetlands can potentially sequester substantial amounts of soil carbon (C) over the long-term because slow decomposition and high primary productivity, particularly in climates with long growing seasons. Restoring such may provide one several effective negative emission technologies to remove atmospheric CO2 mitigate climate change. However, there remains considerable uncertainty whether these heterogeneous ecotones are consistent net C sinks what degree restoration management...
Freshwater algal blooms have caused ecological damage and public health concerns throughout the world. Monitoring such via in situ sampling is both costly time-consuming, satellite imagery provides a rapid relatively inexpensive way to supplement these techniques. Sentinel-2 MultiSpectral Imager data effectively detected chlorophyll-a, proxy for biomass, large bodies of water, but few studies shown applicability small (<10 km2) reservoirs, which are critically important aquatic species,...
Environmental heterogeneity has recently received increased attention due to its effect on biological diversity, ecosystem services and ecological resilience disturbance hazards. However, relationships with landscape complexity as an indicator of visual aesthetic quality have not been yet extensively discussed. The purpose this paper is review different dimensions environmental explore their potential for bridging provision other in design, management planning. This synthesis reveals the...
Abstract Wetlands can influence global climate via greenhouse gas ( GHG ) exchange of carbon dioxide CO 2 ), methane CH 4 and nitrous oxide (N O). Few studies have quantified the full budget wetlands due to high spatial temporal variability fluxes. We report annual open‐water diffusion ebullition fluxes , N O from a restored emergent marsh ecosystem. combined these data with concurrent eddy‐covariance measurements whole‐ecosystem estimate associated radiative forcing effects for whole...
Mapping is fundamental to studies on urban green space (UGS). Despite a growing archive of land cover maps (where UGS included) at global and regional scales, mapping efforts dedicated are still limited. As often part the heterogenous landscape, low-resolution from remote sensing images tend confuse with other covers. Here we produced first 10 m resolution map for main clusters across 371 major Latin American cities as 2017. Our approach applied supervised classification Sentinel-2 satellite...
Abstract Wetlands and flooded peatlands can sequester large amounts of carbon (C) have high greenhouse gas mitigation potential. There is growing interest in financing wetland restoration using C markets; however, this requires careful accounting both CO 2 CH 4 exchange at the ecosystem scale. Here we present a new model, PEPRMT model (Peatland Ecosystem Photosynthesis Respiration Methane Transport), which consists hierarchy biogeochemical models designed to estimate restored managed...